
IBM SPSS Modeler
What is IBM SPSS Modeler?
SPSS is a fully featured Statistical Analysis Software designed to serve Enterprises, Agencies. SPSS provides end-to-end solutions designed for Windows. This online Statistical Analysis system offers Collaboration, Data Mining, Predictive Analytics at one place.
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Key Features of IBM SPSS Modeler
- Collaboration
- Data Mining
- Predictive Analytics
IBM SPSS Modeler Users
Business
- Freelancers
- StartUps
- SMEs
- Agencies
- Enterprises
Available Support
- Phone
- Live Support
- Training
- Tickets
Specifications
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Deployment:
On Premises
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Payment:
Monthly, Yearly
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Desktop Platforms
Mobile Platforms
Language Support
- English
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Company Details
IBM
New York
IBM Watson 1 New Orchard Road, Armonk, New York USA
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Overall Reviews
IBM SPSS Modeler Pros and Cons
Pros
"That I can do every type of analysis easily."
Cons
"Once I got a big data so I don't know if it was my PS that went slow or the software."
IBM SPSS Modeler Reviews (1)
Megha S.
Used the software for : 2+ years
Company Size :51-200 employee
Very good experience.
When IBM SPSS was introduced(I still use this application in my BA lab classes) I was very expressed with its features. It gave me an excellent experience and I am able to perform all analysis I want to do.
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What do you like best about IBM SPSS Modeler?
That I can do every type of analysis easily.
What do you dislike about IBM SPSS Modeler?
Once I got a big data so I don't know if it was my PS that went slow or the software.
Do you think IBM SPSS Modeler delivers value for the money spent?
Yes
Are you satisfied with IBM SPSS Modeler features?
Yes
Did implimentation of IBM SPSS Modeler was easy?
No
What features is IBM SPSS Modeler currently missing?
None.
What other products like IBM SPSS Modeler have you used or evaluated?
No. I only use IBM SPSS and Excel.
How IBM SPSS Modeler is better/different from its competitors?
I don't know, as I only use IBM SPSS.
IBM SPSS Modeler FAQs
What are the top 5 features for IBM SPSS Modeler?
The top 5 features for IBM SPSS Modeler are:
- Collaboration
- Data Mining
- Predictive Analytics
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